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코스 개요
Introduction to NotebookLM for Research
- Core capabilities and limitations
- Navigating the NotebookLM workspace
- Understanding research-oriented AI interactions
Managing Research Sources
- Importing documents and datasets
- Organizing sources effectively
- Linking related materials for multi-source analysis
Advanced Synthesis Techniques
- Generating summaries across multiple documents
- Extracting key points and themes
- Identifying patterns and relationships
Citation and Reference Management
- Automated citation extraction
- Structuring bibliographic data
- Exporting citations for academic writing
AI-Assisted Knowledge Structuring
- Building conceptual maps with AI
- Organizing insights into frameworks
- Iterative refinement of research structures
Report and Output Generation
- Creating research briefs and summaries
- Generating comparison matrices and structured insights
- Preparing materials for publication or presentation
Collaborative Research Workflows
- Sharing notebooks and insights
- Collective synthesis with teams
- Maintaining consistency across shared research spaces
Best Practices for Research Governance
- Ensuring data accuracy and source integrity
- Developing reusable research templates
- Establishing organizational knowledge standards
Summary and Next Steps
요건
- An understanding of digital research workflows
- Experience with academic or professional literature review processes
- General familiarity with cloud-based productivity tools
Audience
- Researchers who wish to enhance synthesis and analysis workflows
- Academics who wish to streamline citation management and source organization
- Knowledge workers who wish to optimize large-scale information handling
14 시간